USCSH: An Active Intelligent Assistance System

Authors:
Manton Matthews;Walter Pharr;Gautam Biswas;Harish Neelakandan
Affiliations:
Department of Computer Science, University of South Carolina, Columbia, SC 29208, USA (author for correspondence: E-mail: matthews@cs.sc.edu);Department of Computer Science, University of South Carolina, Columbia, SC 29208, USA (Current address: College of Charleston, Charleston, SC 29424, USA);Department of Computer Science, University of South Carolina, Columbia, SC 29208, USA (Current address: Vanderbilt University, Nashville, TN 37235, USA);Department of Computer Science, University of South Carolina, Columbia, SC 29208, USA
Venue:
Artificial Intelligence Review
Year:
2000

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Abstract

This paper describes the knowledge sources and methods of knowledge acquisition for USCSH (University of South Carolina SHell). USCSH is an active intelligent assistance system for Unix. The system operates in two modes, the active mode and the intelligent mode. In the active mode USCSH monitors the user's interactions with the system, and at appropriate times makes suggestions on how the user may better utilize the system to perform tasks. In the intelligent mode the system accepts questions in natural language and responds to them, taking into consideration the ability of the user and the context of the question.